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* add argument to force warn * fix automodule error * fix permalink error * fix indentation warning * fix warning * fix import warnings * fix duplicate label warning * fix bullet point indentation warning * fix duplicate label warning * fix "import not top level" warning * line too long * fix indentation * fix bullet points indentation warning * fix hooks warnings * fix reference problem with excluded test_tube * fix indentation in print * change imports for trains logger * remove pandas type annotation * Update pytorch_lightning/core/lightning.py * include bullet points inside note * remove old quick start guide (unused) * fix unused warning * fix formatting * fix duplicate label issue * fix duplicate label warning (replaced by class ref) * fix tick * fix indentation warnings * docstring ticks * remove obsolete docstring typing * Revert "remove old quick start guide (unused)" This reverts commit d51bb40695442c8fa11bc9df74f6db56264f7509. * added old quick start guide to navigation * remove unused tutorials file * ignore some modules that got deprecated and are not used anymore * fix duplicate label warning * move examples doc and exclude pl_examples from autodoc * fix formatting for configure_optimizer * fix no blank line warnings * fix "see also" labels and add paramref extension * fix more reference problems * fix multi-gpu reference * fix weird warning * fix indentation and unrecognized characters in code block * fix warning "... not included in toctree" * fix PIL import error * fix duplicate target "here" warning * fix broken link * revert accidentally moved pl_examples * changelog * stdout * note some things to know Co-Authored-By: Jirka Borovec <Borda@users.noreply.github.com> Co-authored-by: J. Borovec <jirka.borovec@seznam.cz> Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
41 lines
1.1 KiB
ReStructuredText
41 lines
1.1 KiB
ReStructuredText
Early stopping
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==============
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Default behavior
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----------------
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By default early stopping will be enabled if `'val_loss'`
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is found in `validation_epoch_end()` return dict. Otherwise
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training will proceed with early stopping disabled.
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Enable Early Stopping
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---------------------
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There are two ways to enable early stopping.
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.. seealso::
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:class:`~pytorch_lightning.trainer.trainer.Trainer`
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.. code-block:: python
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# A) Set early_stop_callback to True. Will look for 'val_loss'
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# in validation_epoch_end() return dict. If it is not found an error is raised.
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trainer = Trainer(early_stop_callback=True)
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# B) Or configure your own callback
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early_stop_callback = EarlyStopping(
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monitor='val_loss',
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min_delta=0.00,
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patience=3,
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verbose=False,
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mode='min'
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)
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trainer = Trainer(early_stop_callback=early_stop_callback)
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Disable Early Stopping
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----------------------
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To disable early stopping pass ``False`` to the `early_stop_callback`.
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Note that ``None`` will not disable early stopping but will lead to the
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default behaviour.
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.. seealso::
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:class:`~pytorch_lightning.trainer.trainer.Trainer`
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